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A TTS model capable of generating ultra-realistic dialogue in one pass.
★ 19,4 Tsd. SterneApache-2.0
Anleitung ansehen →MOSS-TTSD ist ein Open-Source-Projekt aus der Kategorie Audio von OpenMOSS (OpenMOSS/MOSS-TTSD auf GitHub). Es hat 1.401 Sterne auf GitHub und 140 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 6. September 2026 auf GitHub aktualisiert.
Multilingual long-form dialogue speech with zero-shot voice cloning.
Download weights and the inference code from the repo.
Write multi-speaker dialogue for it to voice.
Control which voice reads each line, cloning new ones as needed.
Generate long-form speech in your target language.
Keeps distinct voices consistent across long conversations.
Clones a voice from a short sample without retraining.
Synthesizes dialogue in multiple languages.
Directs who speaks each line in the script.
Can stream output for interactive applications.
Commercial-friendly terms for research and products.
Download the source and move into the project folder.
git clone https://github.com/OpenMOSS/MOSS-TTSD.git
cd MOSS-TTSDEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at OpenMOSS/MOSS-TTSD with 140 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
It is built for long-form dialogue with multiple consistent speakers, not isolated lines.
It is a research model — a decent GPU is the realistic starting point.
It is described as multilingual; check the model docs for the full list.
A TTS model capable of generating ultra-realistic dialogue in one pass.
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
CosyVoice: multilingual voice generation with zero-shot cloning, streaming and fine-tuning
MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents
IndexTTS: industrial-level, controllable zero-shot text-to-speech with voice cloning
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls MOSS-TTSD nicht das Richtige ist.
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1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
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Verwandte Projekte der Kategorie Audio im Katalog, die MOSS-TTSD bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.